How to use the hvplot.hvPlot function in hvplot

def patch(name='hvplot', extension='bokeh', logo=False):
    try:
        import intake
    except:
        raise ImportError('Could not patch plotting API onto intake. '
                          'intake could not be imported.')

    _patch_plot = lambda self: hvPlot(self)
    _patch_plot.__doc__ = hvPlot.__call__.__doc__
    patch_property = property(_patch_plot)
    setattr(intake.source.base.DataSource, name, patch_property)
    post_patch(extension, logo)

"""
        try:
            from hvplot import hvPlot
        except ImportError:
            raise ImportError("The intake plotting API requires hvplot."
                              "hvplot may be installed with:\n\n"
                              "`conda install -c pyviz hvplot` or "
                              "`pip install hvplot`.")
        metadata = self.metadata.get('plot', {})
        fields = self.metadata.get('fields', {})
        for attrs in fields.values():
            if 'range' in attrs:
                attrs['range'] = tuple(attrs['range'])
        metadata['fields'] = fields
        plots = self.metadata.get('plots', {})
        return hvPlot(self, custom_plots=plots, **metadata)

    _patch_plot = lambda self: hvPlot(self)
    _patch_plot.__doc__ = hvPlot.__call__.__doc__

"""
        try:
            from hvplot import hvPlot
        except ImportError:
            raise ImportError("The intake plotting API requires hvplot."
                              "hvplot may be installed with:\n\n"
                              "`conda install -c pyviz hvplot` or "
                              "`pip install hvplot`.")
        metadata = self.metadata.get('plot', {})
        fields = self.metadata.get('fields', {})
        for attrs in fields.values():
            if 'range' in attrs:
                attrs['range'] = tuple(attrs['range'])
        metadata['fields'] = fields
        plots = self.metadata.get('plots', {})
        return hvPlot(self, custom_plots=plots, **metadata)